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TileLang
Domain-specific language designed to streamline the development
...Developers can work at different abstraction levels while still controlling memory layout, scheduling, pipelines, and hardware-specific behavior. Current backends include CUDA, ROCm, Metal, CPU, and Huawei Ascend support. The project includes autotuning, debugging tools, layout visualization, compiler diagnostics, and an LSP for editor assistance. Kernels can be integrated with PyTorch and compiled for several modern accelerator families. TileLang aims to combine research-friendly productivity with performance close to specialized hand-tuned kernels.
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